No Cover Image

Journal article 20 views

Data-driven representative models to accelerate scaled-up atomistic simulations of bitumen and biobased complex fluids

Daniel York, Isaac Vidal-Daza, Cristina Segura, Jose Norambuena Contreras Orcid Logo, Francisco J. Martin-Martinez Orcid Logo

Digital Discovery, Volume: 3, Issue: 6, Pages: 1108 - 1122

Swansea University Author: Jose Norambuena Contreras Orcid Logo

Full text not available from this repository: check for access using links below.

Check full text

DOI (Published version): 10.1039/d3dd00245d

Published in: Digital Discovery
ISSN: 2635-098X
Published: Royal Society of Chemistry (RSC)
Online Access: Check full text

URI: https://cronfa.swan.ac.uk/Record/cronfa66761
Tags: Add Tag
No Tags, Be the first to tag this record!
first_indexed 2024-06-20T08:33:11Z
last_indexed 2024-06-20T08:33:11Z
id cronfa66761
recordtype SURis
fullrecord <?xml version="1.0" encoding="utf-8"?><rfc1807 xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance" xmlns:xsd="http://www.w3.org/2001/XMLSchema"><bib-version>v2</bib-version><id>66761</id><entry>2024-06-20</entry><title>Data-driven representative models to accelerate scaled-up atomistic simulations of bitumen and biobased complex fluids</title><swanseaauthors><author><sid>73c6854ebb10465fbf7faab297135641</sid><ORCID>0000-0001-8327-2236</ORCID><firstname>Jose</firstname><surname>Norambuena Contreras</surname><name>Jose Norambuena Contreras</name><active>true</active><ethesisStudent>false</ethesisStudent></author></swanseaauthors><date>2024-06-20</date><abstract/><type>Journal Article</type><journal>Digital Discovery</journal><volume>3</volume><journalNumber>6</journalNumber><paginationStart>1108</paginationStart><paginationEnd>1122</paginationEnd><publisher>Royal Society of Chemistry (RSC)</publisher><placeOfPublication/><isbnPrint/><isbnElectronic/><issnPrint/><issnElectronic>2635-098X</issnElectronic><keywords/><publishedDay>0</publishedDay><publishedMonth>0</publishedMonth><publishedYear>0</publishedYear><publishedDate>0001-01-01</publishedDate><doi>10.1039/d3dd00245d</doi><url>http://dx.doi.org/10.1039/d3dd00245d</url><notes/><college>COLLEGE NANME</college><CollegeCode>COLLEGE CODE</CollegeCode><institution>Swansea University</institution><apcterm/><funders/><projectreference/><lastEdited>2024-06-20T10:13:45.5790972</lastEdited><Created>2024-06-20T09:30:27.4382289</Created><path><level id="1">Faculty of Science and Engineering</level><level id="2">School of Aerospace, Civil, Electrical, General and Mechanical Engineering - Aerospace Engineering</level></path><authors><author><firstname>Daniel</firstname><surname>York</surname><order>1</order></author><author><firstname>Isaac</firstname><surname>Vidal-Daza</surname><order>2</order></author><author><firstname>Cristina</firstname><surname>Segura</surname><order>3</order></author><author><firstname>Jose</firstname><surname>Norambuena Contreras</surname><orcid>0000-0001-8327-2236</orcid><order>4</order></author><author><firstname>Francisco J.</firstname><surname>Martin-Martinez</surname><orcid>0000-0001-7149-5512</orcid><order>5</order></author></authors><documents/><OutputDurs/></rfc1807>
spelling v2 66761 2024-06-20 Data-driven representative models to accelerate scaled-up atomistic simulations of bitumen and biobased complex fluids 73c6854ebb10465fbf7faab297135641 0000-0001-8327-2236 Jose Norambuena Contreras Jose Norambuena Contreras true false 2024-06-20 Journal Article Digital Discovery 3 6 1108 1122 Royal Society of Chemistry (RSC) 2635-098X 0 0 0 0001-01-01 10.1039/d3dd00245d http://dx.doi.org/10.1039/d3dd00245d COLLEGE NANME COLLEGE CODE Swansea University 2024-06-20T10:13:45.5790972 2024-06-20T09:30:27.4382289 Faculty of Science and Engineering School of Aerospace, Civil, Electrical, General and Mechanical Engineering - Aerospace Engineering Daniel York 1 Isaac Vidal-Daza 2 Cristina Segura 3 Jose Norambuena Contreras 0000-0001-8327-2236 4 Francisco J. Martin-Martinez 0000-0001-7149-5512 5
title Data-driven representative models to accelerate scaled-up atomistic simulations of bitumen and biobased complex fluids
spellingShingle Data-driven representative models to accelerate scaled-up atomistic simulations of bitumen and biobased complex fluids
Jose Norambuena Contreras
title_short Data-driven representative models to accelerate scaled-up atomistic simulations of bitumen and biobased complex fluids
title_full Data-driven representative models to accelerate scaled-up atomistic simulations of bitumen and biobased complex fluids
title_fullStr Data-driven representative models to accelerate scaled-up atomistic simulations of bitumen and biobased complex fluids
title_full_unstemmed Data-driven representative models to accelerate scaled-up atomistic simulations of bitumen and biobased complex fluids
title_sort Data-driven representative models to accelerate scaled-up atomistic simulations of bitumen and biobased complex fluids
author_id_str_mv 73c6854ebb10465fbf7faab297135641
author_id_fullname_str_mv 73c6854ebb10465fbf7faab297135641_***_Jose Norambuena Contreras
author Jose Norambuena Contreras
author2 Daniel York
Isaac Vidal-Daza
Cristina Segura
Jose Norambuena Contreras
Francisco J. Martin-Martinez
format Journal article
container_title Digital Discovery
container_volume 3
container_issue 6
container_start_page 1108
institution Swansea University
issn 2635-098X
doi_str_mv 10.1039/d3dd00245d
publisher Royal Society of Chemistry (RSC)
college_str Faculty of Science and Engineering
hierarchytype
hierarchy_top_id facultyofscienceandengineering
hierarchy_top_title Faculty of Science and Engineering
hierarchy_parent_id facultyofscienceandengineering
hierarchy_parent_title Faculty of Science and Engineering
department_str School of Aerospace, Civil, Electrical, General and Mechanical Engineering - Aerospace Engineering{{{_:::_}}}Faculty of Science and Engineering{{{_:::_}}}School of Aerospace, Civil, Electrical, General and Mechanical Engineering - Aerospace Engineering
url http://dx.doi.org/10.1039/d3dd00245d
document_store_str 0
active_str 0
published_date 0001-01-01T10:13:46Z
_version_ 1802370889770074112
score 11.014067

Similar Items